CT-AI · Question #96
You are a test manager planning testing for an invoice financing company. The company buys unpaid invoices from companies and provides them with immediate cash. The company is replacing their…
The correct answer is B. Back-to-back testing. Back-to-back testing is the most appropriate technique in this scenario. It involves comparing the outputs of the new machine learning system with the outputs of the existing conventional system, using the same input data. This approach allows to verify that the ML system…
Question
You are a test manager planning testing for an invoice financing company. The company buys unpaid invoices from companies and provides them with immediate cash. The company is replacing their existing conventional system, which takes company accounting records as inputs, with an ML system that classifies each invoice for sales as something that should, or should not be bought. Significant historical production data is available. It is important that invoices are not bought incorrectly. Which ONE of the following test techniques would be MOST appropriate for you to plan for system testing?
Options
- AA/B testing
- BBack-to-back testing
- CMetamorphic testing
- DExperience-based testing
How the community answered
(42 responses)- A17% (7)
- B74% (31)
- C2% (1)
- D7% (3)
Explanation
Back-to-back testing is the most appropriate technique in this scenario. It involves comparing the outputs of the new machine learning system with the outputs of the existing conventional system, using the same input data. This approach allows to verify that the ML system performs at least as well as the existing system, particularly in avoiding incorrect purchases of invoices, which is crucial for the company's operations.
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